此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.
Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).
Joint Extraction of Entities and Relations Based on cnn+rnn
Vagrant redis configuration and the binary releases of MS Open Tech redis port of windows
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html